What It Takes to Build a Voice Agent That Can Hold a Phone Call
Hearing, waiting, answering fast and knowing when to stop: the parts of a voice agent that make a call feel natural
363 stories
Hearing, waiting, answering fast and knowing when to stop: the parts of a voice agent that make a call feel natural
I got my three papers to review, and it seems like they have changed the review score range again this year?
A voice agent that negotiates freight rates, ten scripted attacks, and the difference between “never crossed the limit” and “never gave the limit away”
AI agents guess when a question is vague. Two things help: write down your rules first, then add a separate check that asks.Continue reading on Towards AI »
Jev has made a profound mark on the AI industry; this article offers a glimpse into what lies ahead. Jev shows where the industry is heading: away from monolithic models, and toward compound systems where small AI agents each do a narrow job and an orchestration layer decides how they work…
A from-scratch PyTorch build that recovers blood flow, viscosity, and wall shear stress in a narrowed artery from 40 noisy velocity readings The post How to Use a PINN for a Navier-Stokes Inverse Problem appeared first on Towards Data Science.
Over the last few years, a subset of NeurIPS area chairs received complimentary passes for their service. I’ll admit that I wasn’t super organized about registering on day one because I was semi-consciously hoping for a complimentary pass.
Swaroop Chitlur and Sidd Kodwani share DoorDash’s journey building an internal GenAI platform. They discuss core architectural bets, transitioning from vendor-first setups to open-weights models, navigating LLM and agent gateways, and balancing accuracy, latency, and cost for over 5,000 internal…
IBM has made a self-hosted deployment of IBM Bob, its agentic software development platform, generally available. Enterprises can now run Bob on premises, in private or sovereign clouds, and in air-gapped networks.
Prime Intellect has launched Prime Inference, an OpenAI-compatible platform for serving frontier open models on NVIDIA Blackwell. Its GLM-5.3 deployment uses Dynamo, vLLM and NVFP4 KV compression to serve 66 sessions per prefill group at 101 tok/s per user.
Cloudflare’s Answer to Jev And It’s Open Source For Non Members , Look in the Responses It takes a piece of state (text, JSON, or images) and a list of typed questions. It returns a probability …
Suppose you’re recording a human plugging a cable into a socket to collect demonstrations for robot learning. The hand tracker captures the approach accurately. Then occlusion causes the hand estimates to disappear during insertion. Tracking returns after the connector is already seated.
I skipped the vendor tables and lined up the independent runs: 113 real coding tasks, four tries each, with the bill attached.Continue reading on Towards AI »
Claude Sonnet 5 and Gemini 3.1 Pro ship 1M-token windows, but RULER and Chroma's research shows retrieval still beats stuffing on cost and recall accuracy...
What’s new in Flash-Next, and the Mac and PC setups that get its long-prompt speed today.Continue reading on Towards AI »
Most of what we call hallucination is a model faithfully repeating data we never checked
First in a two-part series on tuning Jev as an LLM judge: this post covers judging response quality; the next covers judging response safety.
In our #NeurIPS2026 paper “Topological Out-of-Domain Generalization in Dynamical Systems Reconstruction” (preprint: https://arxiv.org/abs/2606.22969) we try to address a fundamental issue in dynamical systems reconstruction (DSR) and time series forecasting (TSF): Many recent SOTA DSR & TSF models…
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